model update

README.md

@@ -79,6 +79,39 @@ model-index:
     - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
       type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
       value: 65.34
+    - name: BLEU4 (Question & Answer Generation)
+      type: bleu4_question_answer_generation
+      value: 0.87
+    - name: ROUGE-L (Question & Answer Generation)
+      type: rouge_l_question_answer_generation
+      value: 15.67
+    - name: METEOR (Question & Answer Generation)
+      type: meteor_question_answer_generation
+      value: 19.57
+    - name: BERTScore (Question & Answer Generation)
+      type: bertscore_question_answer_generation
+      value: 69.82
+    - name: MoverScore (Question & Answer Generation)
+      type: moverscore_question_answer_generation
+      value: 52.32
+    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
+      value: 76.86
+    - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
+      value: 77.55
+    - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
+      value: 76.28
+    - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
+      value: 52.96
+    - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
+      value: 53.06
+    - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
+      value: 52.93
 ---
 
 # Model Card of `lmqg/mt5-base-dequad-qg`
@@ -152,6 +185,26 @@ output = pipe("Empfangs- und Sendeantenne sollen in ihrer Polarisation übereins
 | ROUGE_L                         |   16.04 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 
 
+- ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-dequad-ae`](https://huggingface.co/lmqg/mt5-base-dequad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-dequad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.lmqg_mt5-base-dequad-ae.json)
+
+|                                 |   Score | Type    | Dataset                                                          |
+|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
+| BERTScore                       |   69.82 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_1                          |   13.47 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_2                          |    6.32 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_3                          |    2.03 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_4                          |    0.87 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| METEOR                          |   19.57 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| MoverScore                      |   52.32 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedF1Score (BERTScore)    |   76.86 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedF1Score (MoverScore)   |   52.96 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedPrecision (BERTScore)  |   76.28 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedPrecision (MoverScore) |   52.93 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedRecall (BERTScore)     |   77.55 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedRecall (MoverScore)    |   53.06 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| ROUGE_L                         |   15.67 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+
+
 
 ## Training hyperparameters